Research Associate in Fire Dynamics x2

About us

You will be part of an active research programme in the Heat and Fire Lab (https://heatandfire.github.io/ ) in the Department of Engineering at King’s College London.

About the role 

We are looking to appoint up to 2 full-time (1.0 FTE) Research Associates  to work for the next 2.5 years at the interlink of prevention and prediction of wildfire risk, by contributing to the development of a fundamental physical model to understand the process of fire spread for wildfires, as part of the European Research Council grant FIREMOD ( https://cordis.europa.eu/project/id/101161183).

This is a full time post, and you will be offered a fixed term 30-month contract.

At King’s, you will be part of an active research programme in the Heat and Fire Lab ( https://heatandfire.github.io/ ) in the Department of Engineering under the supervision of Dr Francesco Restuccia. Our group is focused on carrying out experimental and computational multidisciplinary research in the thermal sciences covering heat transfer, combustion, fire science, and bioenergy. Our interests range from helping develop more efficient and durable energy storage to understanding the fundamentals of ignition and fire spread for prevention of damage to people, property, and the environment from unwanted fires in topics such as wildfire and electrification. Our current projects focus on wildfire dynamics, battery fires, thermal management of Lithium-Ion batteries, and ignition research.

The research in this project at King’s aims at creating a detailed physical model to better understand and predict fire behaviour. The project will study fire across different scales, include smouldering effects, and improve small and large-scale fire models. This approach will help manage wildfires more effectively and provide valuable tools for researchers.

Specifically this role will lay the foundation to enable:

1. Fire dynamic modelling for upscaling current lab scale models to field-scale fires
2. Supporting  the development of a numerical model of ignition and flame spread based on fuel properties
3. Integrate transition from smouldering to flaming regimes when quantifying different fire spread regimes
4. Support experimental validation work at the lab scale on a variety of vegetation.

Candidates with a background in Fire Science and physics-based modelling are particularly encouraged to apply.

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